Senior/Lead Machine Learning Engineer

3 tygodni temu

Warszawa, Mazovia, Polska TN Poland Pełny etat

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Senior/Lead Machine Learning Engineer, Warsaw

Client: Softeq

Location: Warsaw, Poland

Job Category: Other

EU work permit required: Yes

Job Reference:

0d7a1898a587

Job Views:

3

Posted:

18.03.2025

Expiry Date:

02.05.2025

Job Description:

Softeq started in 1997, and now we have offices in Houston, Vilnius, Munich, and Mexico. As a full-stack company, we help clients create turnkey smart gadgets and standalone components of IoT systems. We have our own Startup Venture Fund and collaborate with MIT. Come join us

Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together

Location: Europe, 100% remote work (B2B contract directly with Softeq)

We are looking for an experienced Software Engineer with expertise in Machine Learning to spearhead the development of cutting-edge ML/DL models tailored for ultra low-power devices. You will play a key role in the end-to-end pipeline—from sensor data acquisition and signal processing to model optimization and deployment on microcontrollers.

Key Responsibilities
  1. Design, implement, and optimize ML/DL models for ultra low-power devices, focusing on efficient use of limited resources.
  2. Collaborate with firmware developers to integrate models into embedded systems.
  3. Process and analyze sensor data (e.g., accelerometers, GPS) to extract meaningful features and insights.
  4. Leverage advanced signal processing techniques and algorithms to improve data quality and model accuracy.
  5. Curate and manage datasets, ensuring data quality and relevance for training and testing.
  6. Oversee data collection processes, coordinate sensor setups, and validate incoming data for consistency and accuracy.
  7. Implement and maintain model compression, quantization, and pruning techniques for microcontrollers.
  8. Conduct performance analysis and benchmark models across different hardware platforms.
  9. Work closely with firmware developers to ensure smooth model integration and real-time deployment.
  10. Mentor junior engineers, provide technical guidance, and help shape the overall ML roadmap.
Qualifications Education & Experience
  1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field; PhD is a plus.
  2. Software engineering experience with designing and deploying ML/DL models, with a strong emphasis on signal processing.
  3. Good level of English (both written and spoken), min. B2.
Technical Skills
  1. Proficiency in Python and at least one deep learning framework (e.g., TensorFlow, PyTorch).
  2. Strong understanding of signal processing algorithms (Fourier transforms, filtering, denoising, feature extraction).
  3. Experience with sensor data (accelerometers, GPS) and data collection pipelines.
  4. Hands-on experience with embedded systems and microcontroller-based deployments.
  5. Familiarity with model optimization techniques such as quantization, pruning, and knowledge distillation.
  6. Comfortable with Git, CI/CD pipelines, and version control best practices.
Soft Skills
  1. Excellent problem-solving skills and attention to detail.
  2. Strong communication and collaboration abilities.
  3. Ability to work effectively in a fast-paced, cross-functional environment.
Nice to Have
  1. Familiarity with C/C++ for embedded firmware development.
  2. Experience with ultra low-power device constraints and power management techniques.
  3. Prior contributions to open-source ML or signal processing projects.
  4. Knowledge of hardware design and sensor fusion techniques.
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